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Publikationen am Fachgebiet

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S

Schuhmacher, J. (2017). Machine Learning for User Learning [13]. In Hess, Steffen and Fischer, Holger (Eds.), Mensch und Computer 2017 - Usability Professionals, p. 275-280.


Seiling, L. P. M. S. P. K. O. B. L. K. R. R. S. P. K. W. S. and Russwinkel, N. (2021, July). Lessons Learned From Modelling Situated Cognitive Agents Interacting With a Dynamic Environment [14]. Poster presented at the 19th International Conference on Cognitive Modelling.


Smieszek, H., Joeres, F. and Russwinkel, N. (2015). Workload of Airport Tower Controllers: Empirical Validation of a Macro-cognitive Model [15]. In Soeffker, D.; Kluge, A. (Eds.), Online Journal Kognitive Systeme, Heft 1(Vol. 2), 2015.


Smieszek, H. and Joeres, F. (2013). Prospective decision making in a macro-cognitive model of airport traffic control system (MATriCS) based on coloured petri nets [16]. In Brandenburg, E. and Doria, L. and Gross, A. and Günzler, T. and Smieszek, H. (Eds.), Tagungsband der 10. Berliner Werkstatt Mensch-Maschine- Systeme: Grundlagen und Anwendungen der Mensch-Maschine-Interaktion, p. 500-507.


Smieszek, H., Manske, P., Hasselberg, A., Russwinkel, N. and Möhlenbrink, C. (2013). Cognitive Simulation of limited Working Memory Capacity applied to an Air Traffic Control Task [17]. In West, R. and Stewart, T. (Eds.), Proceedings of the 12th International Conference on Cognitive Modeling (ICCM 2013), p. 227-232.


Smieszek, H. and Russwinkel, N. (2013). Micro-cognition and macrocognition: trying to bridge the gap [18]. In Brandenburg, E. and Doria, L. and Gross, A. and Günzler, T. and Smieszek, H. (Eds.), Tagungsband der 10. Berliner Werkstatt Mensch-Maschine-Systeme: Grundlagen und Anwendungen der Mensch-Maschine-Interaktion, p. 334-340.


T

Thomaz, A. L., Lieven, E., Cakmak, M., Chai, J., Garrod, S., Gray, W., Leviston, S. C., Paiva, A. and Russwinkel, N. (2018). Interaction for Task Instruction and Learning [19]. Gluck, K. A. and Laird, J. E. (Eds.), Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions. MIT Press Cambridge, Massachusets.


U

Urbas, L., Heinath, M., Trösterer, S., Pape, N., Dzaack, J., Kiefer, J. and Leuchter, S. (2009). Agimap: a tool-chain to support the modeling of the interaction level of dynamic systems [20]. In Proceedings of the 7th International Conference on Cognitive Modeling.


Urbas, L., Leuchter, S., Pape, N. and Trösterer, S. (2009). Prospektive Gestaltung der Ablenkungswirkung von In Vehicle Information Systems [21]. In Jürgensohn, T. and Kohlrep-Rometsch, H. (Eds.), Tagungsband der 2. Berliner Fachtagung Fahrermodellierung, 19./20. Juli 2008, p. 74-83.


v

van Rijn, H., Russwinkel, N. and Peebles, D. (2013). Editoral to the special issue "The Best of ICCM 2013" [22]. Cognitive Systems Research, 24(1), p. 1. doi: 10.1016/j.cogsys.2013.01.004


W

Weidemann, A., Compangna, D., Marquardt, M., Martens, M. and Boblan, I. (2016). Biological, Biomimetic and Sociological Aspects of Human-Robot Interaction in Work Environments [23]. In Nah, FH and Tan, CH (Eds.), Proceedings of the 18th International Conference on Human-Computer Interaction – HCII 2016, p. 369-379.


Weidemann, A. (2018, November). Frustration and Learning in Human-Robot Cooperation [24]. Poster presented at the 2nd Winter School Human Factors Aspects of Cooperative Systems Design, HUFACO 2018. Technical University of Munich, Germany.


Weidemann, A. and Rußwinkel, N. (2019, September). Investigation of Frustration [25]. Poster presented at the Mensch und Computer 2019. Hamburg, Germany.


Weidemann, A. and Russwinkel, N. (2021). The Role of Frustration in Human–Robot Interaction – What Is Needed for a Successful Collaboration? [26]. Frontiers in Psychology, 12(640186), p. 1 - 30. doi: https://doi.org/10.3389/fpsyg.2021.640186


Weidemann, A. and Rußwinkel, N. (2019). Investigation of Frustration [27]. In Alt, Florian and Bulling, Andreas and Döring, Tanja (Eds.), Proceedings of the Mensch und Computer 2019, p. 819-824.


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